Smartphone apps and newsfeeds are designed to constantly grab our attention. And research suggests we’re distracted nearly 50% of the time. Could this be weighing down on productivity? And why is the crisis of attention particularly concerning in the context of the rise of AI and the need, therefore, to cultivate distinctively human qualities?
Almog Adir and Simon Whitaker
In the last few years there has been a small net overall flow of capital from advanced to emerging market economies (EMEs), in contrast to the ‘paradox’ prevailing for much of this century of capital flowing the ‘wrong’ way, uphill from poor to rich countries. In this post we show the ‘paradox’ in the aggregate flows actually concealed private capital flowing the ‘right’ way for much of the time. And even during recent turbulence, foreign direct investment (FDI) flows, likely to be particularly beneficial to growth, have persisted. But EMEs could still benefit more from harnessing capital from advanced economies and Argentina has set a useful precedent as it prepares to take over the Presidency of the G20 in 2018.
Despite decades of trade deficits (spending more on foreign products than foreigners spend on UK products), the UK’s net liability with the rest of the world remains negligible. How does it pull off that trick? By earning a higher return on its foreign assets than it pays on its foreign liabilities.
Aidan Saggers and Chiranjit Chakraborty
Investment in the Financial Technology (FinTech) industry has increased rapidly post crisis and globalisation is apparent with many investors funding companies far from their own physical locations. From Crunchbase data we gathered all the venture capital investments in FinTech start-up firms from 2010 to 2014 and created network diagrams for each year.
Chiranjit Chakraborty and Andreas Joseph
Rapid advances in analytical modelling and information processing capabilities, particularly in machine learning (ML) and artificial intelligence (AI), combined with ever more granular data are currently transforming many aspects of everyday life and work. In this blog post we give a brief overview of basic concepts of ML and potential applications at central banks based on our research. We demonstrate how an artificial neural network (NN) can be used for inflation forecasting which lies at the heart of modern central banking. We show how its structure can help to understand model reactions. The NN generally outperforms more conventional models. However, it struggles to cope with the unseen post-crises situation which highlights the care needed when considering new modelling approaches.
Paul Schmelzing is a visiting scholar at the Bank from Harvard University, where he concentrates on 20th century financial history. In this guest post, he looks at how global real interest rates have evolved over the past 700 years.
With core inflation rates remaining low in many advanced economies, proponents of the “secular stagnation” narrative –that markets are trapped in a period of permanently lower equilibrium real rates- have recently doubled down on their pessimistic outlook. Building on an earlier post on nominal rates this post takes a much longer-term view on real rates using a dataset going back over the past 7 centuries, and finds evidence that the trend decline in real rates since the 1980s fits into a pattern of a much deeper trend stretching back 5 centuries. Looking at cyclical dynamics, however, the evidence from eight previous “real rate depressions” is that turnarounds from such environments, when they occur, have typically been both quick and sizeable.